Category Archives: News

Data Generation in HOBBIT using TomTom’s Mimicking Algorithm

The number of users of navigation services continues to grow, either using the vehicle’s built-in unit, a dedicated device or a smartphone application. This enables the collection of extensive amounts of floating car data, which can be used to extract information relevant to a number of applications like road administration, traffic management and jam avoiding […]

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Generating Big Linked Data for HOBBIT: Mimicking Production Machine and IT Data

With the digitalization in manufacturing and European initiatives like Factory of the Future or national programs like Industrie 4.0 supporting this development, the need for processing big data, coming from sensors, machine logs, Internet of Things (IoT) devices, and other sources is becoming more and more important especially when it comes to bringing added value […]

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Architecture of the HOBBIT Platform

During the runtime of the HOBBIT project, we have collected several requirements from the community which should be fulfilled by a Big Linked Data benchmarking platform. All these requirements influenced the final architecture of our platform. However, this blog post will focus on its central functionality: we want to offer a platform that enables any […]

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Hobbit @ ESWC 2017

The HOBBIT project organized three benchmarking challenges at the ESWC 2017 conference, which took place in Portoroz, Slovenia from May 28th to June 1st, as it aims to bring together and inspire people from academia and industry to come up with fresh and innovative ideas on solving real-life problems concerning Big Linked Data. We are […]

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Hobbit @ DEBS 2017

Using HOBBIT platform at DEBS Grand Challenge considered as major improvement At this year’s Distributed Events Processing Systems conference (DEBS 2017) the HOBBIT platform has demonstrated its ability to objectively quantify the performance of anomaly detection algorithms that process RDF data in real-time. Dr. Roman Katerinenko and Dr. Martin Strohbach, both AGT International were representing […]

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A platform for benchmarking Big Linked Data solutions

One of the major goals of the HOBBIT project is to provide a benchmarking platform supporting the benchmarking of Big Linked Data solutions. This platform needs to a) enable benchmarking in a b) scalable way on c) different platforms and d) support the execution of benchmarking challenges. Additionally, the platform should be made available as […]

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HOBBIT’s Linking and Spatial Benchmarks

The number of datasets published in the Web of Data as part of the Linked Data Cloud is constantly increasing. The Linked Data paradigm is based on the unconstrained publication of information by different publishers, and the interlinking of Web resources across knowledge bases.  In most cases, the cross-dataset links are not explicit in the […]

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Faceted Browsing: approaches and benchmark

Faceted browsing stands for a session-based and state-dependent interactive method for query formulation over a multi-dimensional information space. It provides a user with an effective way for exploration of a search space. After having defined the initial search space, i.e., the set of resources of interest to the user, a browsing scenario consists of applying […]

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HOBBIT collaborates with EuroStars project DIESEL

HOBBIT collaborates with European research projects to support their benchmarking activities. One of the ongoing collaborations is with the DIESEL project, which aims to develop a Linked-Data driven keyword search engine suited for handling extensive amounts of enterprise data. HOBBIT and DIESEL teamed up to provide a supplementary dataset for the QALD-7 challenge at the […]

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